Understanding How Psychological Distance Influences User Preferences in Conversational Versus Web Search
Yitian Yang, Yugin Tan, Yang Chen Lin, Jung-Tai King, Zihan Liu, Yi-Chieh Lee
TL;DR
This paper investigates how psychological distance, across spatial, temporal, social, and hypothetical dimensions, shapes user preferences between web search and LLM-powered conversational search (ConvSearch) in a travel-planning task. Using a 2x4 between-subjects design with 128 participants, it demonstrates that greater distance amplifies ConvSearch advantages in ease of use, credibility, usefulness, enjoyment, and overall acceptance, while near-distance effects are weaker. The authors integrate Construal Level Theory with TAM-based measures and conduct thematic analyses to reveal qualitative reasons behind system preferences, identifying Low Workload, Speed and Efficiency, and Interactive dialogue as ConvSearch strengths, versus Visual Confirmation and Source Credibility for WebSearch. Practically, the findings support distance-aware IR design and hybrid search architectures that adapt information level and presentation to the user’s cognitive state, enhancing user experience and satisfaction in increasingly complex information environments.
Abstract
Conversational search offers an easier and faster alternative to conventional web search, while having downsides like lack of source verification. Research has examined performance disparities between these two systems in different settings. However, little work has considered the effects of variations within a given search task. We hypothesize that psychological distance - one's perceived closeness to a target event - affects information needs in search tasks, and investigate the corresponding effects on user preferences between web and conversational search systems. We find that with greater psychological distances, users perceive conversational search as more credible, useful, enjoyable, and easy to use, and demonstrate increased preference for this system. We reveal qualitative reasons for these differences and provide design implications for search system designers.
